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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (all genders) - **Company:** Bayer AG - **Location:** Weimar, Germany - **Salary:** €93,800.0 - **Contract:** Temporary contract - **Skills:** Adaptable Database Systems, Agile Methodology, Artificial Intelligence, Amazon Web Services, Databases, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Stores, Data Warehousing, Decision Support Systems, DevOps, Distributed Systems, Github, Node.Js, OPC Unified Architecture, SAP (Applications), Software Engineering, SQL Databases, Unstructured Data, Data Processing, Scripting, Data Lakes, Information Technology, Data Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** August 25, 2026 - **Apply:** https://career.bayer.ch/en/?search_result=false&8f_pid=562949978406082 ## About the Role * University degree in Computer Science, Data Engineering, Engineering, Mathematics, Statistics, or a related discipline, combined with practical experience in Data Engineering, Data Analytics, or Software Development. * Several years of experience building scalable data models, data architectures, and ETL/ELT pipelines for structured and unstructured data from multiple sources. * Hands-on experience working with structured and unstructured data from diverse data sources, as well as developing scripts and tools to accelerate data processing and integration. * Strong proficiency in SQL, cloud platforms (AWS), structured and unstructured data, and software development. * Knowledge of distributed systems and agile software development methodologies. * Strong ability to collaborate across multiple teams and stakeholders in visible cross-functional roles, with a passion for planning and executing data and AI initiatives in a structured manner. * Enjoys defining and managing project plans as well as ensuring data availability. * Fluent German and English language skills, both written and spoken. ## Description As a Data Engineer (all genders), you will design, implement, and operate data pipelines for our manufacturing data landscape. Your systems ingest data from various applications and sources, including MES, SAP, equipment databases, historian systems, applications, and production assets, and provide quality-assured, contextualized data for downstream systems, data science applications, and AI use cases. You will take an active role as an AI Ambassador, driving the adoption of AI in manufacturing-related processes, creating AI-ready data pipelines, and ensuring compliance with pharmaceutical manufacturing, GMP, data, validation, and governance requirements., * Design, develop, operate, and maintain robust data pipelines for our manufacturing systems data integration platforms. * Manage and support our data store, data lake, and data warehouse environment for the collection, harmonization, and provisioning of manufacturing data using AWS services, including working with Databricks as a data lake for data science and AI use cases. * Develop program code and make technology and system decisions related to the deployment and operation of large-scale ETL/ELT processes. * Work with GitHub and established DevOps, version control, and documentation practices. * Design interfaces and perform data transformations using integration platforms such as Node-RED or similar technologies, as well as design and implement equipment connectivity and interfaces, for example via OPC UA, including the associated data pipelines required for manufacturing asset integration. * Collaborate closely with Data Scientists to develop and implement predictive models, advanced analytics solutions, and AI use cases. * Serve as an AI Ambassador by promoting the responsible, user-focused, and compliant use of AI in pharmaceutical manufacturing, including leading and contributing to initiatives that integrate AI into manufacturing-related processes, such as data enablement, automation, decision support, and continuous improvement. * Work closely with internal functions across the organization, central platform teams, the global data science community, and external partners including suppliers, technology providers, universities, consultants, and industry partners., This is your opportunity to tackle the world's biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Stop using Node.js like in 2020! 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